Pandas Profiling Report

Dataset statistics

Number of variables	36
Number of observations	2216
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	705.1 KiB
Average record size in memory	325.8 B

Variable types

Numeric	19
Categorical	16
DateTime	1

Alerts

`z_cost_contact` has constant value "3"	Constant
`z_revenue` has constant value "11"	Constant
`year_birth` is highly overall correlated with `age`	High correlation
`income` is highly overall correlated with `mnt_wines` and 11 other fields	High correlation
`mnt_wines` is highly overall correlated with `income` and 11 other fields	High correlation
`mnt_fruits` is highly overall correlated with `income` and 9 other fields	High correlation
`mnt_meat_products` is highly overall correlated with `income` and 10 other fields	High correlation
`mnt_fish_products` is highly overall correlated with `income` and 9 other fields	High correlation
`mnt_sweet_products` is highly overall correlated with `income` and 9 other fields	High correlation
`mnt_gold_prods` is highly overall correlated with `income` and 10 other fields	High correlation
`num_web_purchases` is highly overall correlated with `income` and 7 other fields	High correlation
`num_catalog_purchases` is highly overall correlated with `income` and 11 other fields	High correlation
`num_store_purchases` is highly overall correlated with `income` and 10 other fields	High correlation
`num_web_visits_month` is highly overall correlated with `income` and 2 other fields	High correlation
`age` is highly overall correlated with `year_birth`	High correlation
`income_per_member` is highly overall correlated with `income` and 12 other fields	High correlation
`total_spent` is highly overall correlated with `income` and 11 other fields	High correlation
`kidhome` is highly overall correlated with `n_family_members` and 1 other fields	High correlation
`teenhome` is highly overall correlated with `n_sons`	High correlation
`accepted_cmp3` is highly overall correlated with `total_accepted`	High correlation
`accepted_cmp4` is highly overall correlated with `total_accepted`	High correlation
`accepted_cmp5` is highly overall correlated with `mnt_wines` and 2 other fields	High correlation
`accepted_cmp1` is highly overall correlated with `total_accepted`	High correlation
`accepted_cmp2` is highly overall correlated with `total_accepted`	High correlation
`n_family_members` is highly overall correlated with `income_per_member` and 2 other fields	High correlation
`n_sons` is highly overall correlated with `kidhome` and 2 other fields	High correlation
`total_accepted` is highly overall correlated with `accepted_cmp3` and 4 other fields	High correlation
`accepted_cmp3` is highly imbalanced (62.1%)	Imbalance
`accepted_cmp4` is highly imbalanced (61.9%)	Imbalance
`accepted_cmp5` is highly imbalanced (62.3%)	Imbalance
`accepted_cmp1` is highly imbalanced (65.7%)	Imbalance
`accepted_cmp2` is highly imbalanced (89.7%)	Imbalance
`complain` is highly imbalanced (92.3%)	Imbalance
`total_accepted` is highly imbalanced (57.1%)	Imbalance
`id` has unique values	Unique
`recency` has 28 (1.3%) zeros	Zeros
`mnt_fruits` has 395 (17.8%) zeros	Zeros
`mnt_fish_products` has 379 (17.1%) zeros	Zeros
`mnt_sweet_products` has 413 (18.6%) zeros	Zeros
`mnt_gold_prods` has 61 (2.8%) zeros	Zeros
`num_deals_purchases` has 44 (2.0%) zeros	Zeros
`num_web_purchases` has 48 (2.2%) zeros	Zeros
`num_catalog_purchases` has 576 (26.0%) zeros	Zeros

Reproduction

Analysis started	2023-02-13 15:24:31.645026
Analysis finished	2023-02-13 15:25:56.294271
Duration	1 minute and 24.65 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

id
Real number (ℝ)

Distinct	2216
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5588.3533

Minimum	0
Maximum	11191
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	572.75
Q1	2814.75
median	5458.5
Q3	8421.75
95-th percentile	10676.5
Maximum	11191
Range	11191
Interquartile range (IQR)	5607

Descriptive statistics

Standard deviation	3249.3763
Coefficient of variation (CV)	0.58145505
Kurtosis	-1.1896767
Mean	5588.3533
Median Absolute Deviation (MAD)	2791
Skewness	0.040459216
Sum	12383791
Variance	10558446
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5524	1	< 0.1%
6885	1	< 0.1%
3478	1	< 0.1%
7494	1	< 0.1%
1763	1	< 0.1%
7250	1	< 0.1%
2005	1	< 0.1%
10770	1	< 0.1%
2072	1	< 0.1%
3643	1	< 0.1%
Other values (2206)	2206	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
9	1	< 0.1%
13	1	< 0.1%
17	1	< 0.1%
20	1	< 0.1%
22	1	< 0.1%
24	1	< 0.1%
25	1	< 0.1%
35	1	< 0.1%

Value	Count	Frequency (%)
11191	1	< 0.1%
11188	1	< 0.1%
11187	1	< 0.1%
11181	1	< 0.1%
11178	1	< 0.1%
11176	1	< 0.1%
11171	1	< 0.1%
11166	1	< 0.1%
11148	1	< 0.1%
11133	1	< 0.1%

year_birth
Real number (ℝ)

Distinct	59
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1968.8204

Minimum	1893
Maximum	1996
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	1893
5-th percentile	1950
Q1	1959
median	1970
Q3	1977
95-th percentile	1988
Maximum	1996
Range	103
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	11.985554
Coefficient of variation (CV)	0.0060876828
Kurtosis	0.73467044
Mean	1968.8204
Median Absolute Deviation (MAD)	9
Skewness	-0.35366147
Sum	4362906
Variance	143.65351
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1976	89	4.0%
1971	86	3.9%
1975	83	3.7%
1972	78	3.5%
1978	76	3.4%
1970	75	3.4%
1965	74	3.3%
1973	72	3.2%
1969	70	3.2%
1974	69	3.1%
Other values (49)	1444	65.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1893	1	< 0.1%
1899	1	< 0.1%
1900	1	< 0.1%
1940	1	< 0.1%
1941	1	< 0.1%
1943	6	0.3%
1944	7	0.3%
1945	8	0.4%
1946	16	0.7%
1947	16	0.7%

Value	Count	Frequency (%)
1996	2	0.1%
1995	5	0.2%
1994	3	0.1%
1993	5	0.2%
1992	13	0.6%
1991	15	0.7%
1990	18	0.8%
1989	29	1.3%
1988	29	1.3%
1987	27	1.2%

education
Categorical

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

Graduation	1116
PhD	481
Master	365
2n Cycle	200
Basic	54

Length

Max length	10
Median length	10
Mean length	7.5194043
Min length	3

Characters and Unicode

Total characters	16663
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Graduation
2nd row	Graduation
3rd row	Graduation
4th row	Graduation
5th row	PhD

Common Values

Value	Count	Frequency (%)
Graduation	1116	50.4%
PhD	481	21.7%
Master	365	16.5%
2n Cycle	200	9.0%
Basic	54	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
graduation	1116	46.2%
phd	481	19.9%
master	365	15.1%
2n	200	8.3%
cycle	200	8.3%
basic	54	2.2%

Most occurring characters

Value	Count	Frequency (%)
a	2651	15.9%
r	1481	8.9%
t	1481	8.9%
n	1316	7.9%
i	1170	7.0%
G	1116	6.7%
d	1116	6.7%
u	1116	6.7%
o	1116	6.7%
e	565	3.4%
Other values (12)	3535	21.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13566	81.4%
Uppercase Letter	2697	16.2%
Decimal Number	200	1.2%
Space Separator	200	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2651	19.5%
r	1481	10.9%
t	1481	10.9%
n	1316	9.7%
i	1170	8.6%
d	1116	8.2%
u	1116	8.2%
o	1116	8.2%
e	565	4.2%
h	481	3.5%
Other values (4)	1073	7.9%

Uppercase Letter

Value	Count	Frequency (%)
G	1116	41.4%
D	481	17.8%
P	481	17.8%
M	365	13.5%
C	200	7.4%
B	54	2.0%

Decimal Number

Value	Count	Frequency (%)
2	200	100.0%

Space Separator

Value	Count	Frequency (%)
	200	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16263	97.6%
Common	400	2.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2651	16.3%
r	1481	9.1%
t	1481	9.1%
n	1316	8.1%
i	1170	7.2%
G	1116	6.9%
d	1116	6.9%
u	1116	6.9%
o	1116	6.9%
e	565	3.5%
Other values (10)	3135	19.3%

Common

Value	Count	Frequency (%)
2	200	50.0%
	200	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16663	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2651	15.9%
r	1481	8.9%
t	1481	8.9%
n	1316	7.9%
i	1170	7.0%
G	1116	6.7%
d	1116	6.7%
u	1116	6.7%
o	1116	6.7%
e	565	3.4%
Other values (12)	3535	21.2%

marital_status
Categorical

Distinct	8
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

Married	857
Together	573
Single	471
Divorced	232
Widow	76
Other values (3)	7

Length

Max length	8
Median length	7
Mean length	7.0758123
Min length	4

Characters and Unicode

Total characters	15680
Distinct characters	26
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Single
2nd row	Single
3rd row	Together
4th row	Together
5th row	Married

Common Values

Value	Count	Frequency (%)
Married	857	38.7%
Together	573	25.9%
Single	471	21.3%
Divorced	232	10.5%
Widow	76	3.4%
Alone	3	0.1%
Absurd	2	0.1%
YOLO	2	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
married	857	38.7%
together	573	25.9%
single	471	21.3%
divorced	232	10.5%
widow	76	3.4%
alone	3	0.1%
absurd	2	0.1%
yolo	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	2709	17.3%
r	2521	16.1%
i	1636	10.4%
d	1167	7.4%
g	1044	6.7%
o	884	5.6%
M	857	5.5%
a	857	5.5%
T	573	3.7%
t	573	3.7%
Other values (16)	2859	18.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13458	85.8%
Uppercase Letter	2222	14.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2709	20.1%
r	2521	18.7%
i	1636	12.2%
d	1167	8.7%
g	1044	7.8%
o	884	6.6%
a	857	6.4%
t	573	4.3%
h	573	4.3%
n	474	3.5%
Other values (7)	1020	7.6%

Uppercase Letter

Value	Count	Frequency (%)
M	857	38.6%
T	573	25.8%
S	471	21.2%
D	232	10.4%
W	76	3.4%
A	5	0.2%
O	4	0.2%
Y	2	0.1%
L	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15680	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2709	17.3%
r	2521	16.1%
i	1636	10.4%
d	1167	7.4%
g	1044	6.7%
o	884	5.6%
M	857	5.5%
a	857	5.5%
T	573	3.7%
t	573	3.7%
Other values (16)	2859	18.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15680	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2709	17.3%
r	2521	16.1%
i	1636	10.4%
d	1167	7.4%
g	1044	6.7%
o	884	5.6%
M	857	5.5%
a	857	5.5%
T	573	3.7%
t	573	3.7%
Other values (16)	2859	18.2%

income
Real number (ℝ)

Distinct	1974
Distinct (%)	89.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52247.251

Minimum	1730
Maximum	666666
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	1730
5-th percentile	18985.5
Q1	35303
median	51381.5
Q3	68522
95-th percentile	84130
Maximum	666666
Range	664936
Interquartile range (IQR)	33219

Descriptive statistics

Standard deviation	25173.077
Coefficient of variation (CV)	0.48180672
Kurtosis	159.6367
Mean	52247.251
Median Absolute Deviation (MAD)	16557.5
Skewness	6.7634874
Sum	1.1577991 × 10⁸
Variance	6.3368379 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7500	12	0.5%
35860	4	0.2%
37760	3	0.1%
83844	3	0.1%
63841	3	0.1%
18929	3	0.1%
47025	3	0.1%
34176	3	0.1%
48432	3	0.1%
39922	3	0.1%
Other values (1964)	2176	98.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1730	1	< 0.1%
2447	1	< 0.1%
3502	1	< 0.1%
4023	1	< 0.1%
4428	1	< 0.1%
4861	1	< 0.1%
5305	1	< 0.1%
5648	1	< 0.1%
6560	1	< 0.1%
6835	1	< 0.1%

Value	Count	Frequency (%)
666666	1	< 0.1%
162397	1	< 0.1%
160803	1	< 0.1%
157733	1	< 0.1%
157243	1	< 0.1%
157146	1	< 0.1%
156924	1	< 0.1%
153924	1	< 0.1%
113734	1	< 0.1%
105471	1	< 0.1%

kidhome
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

0	1283
1	887
2	46

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	1283	57.9%
1	887	40.0%
2	46	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1283	57.9%
1	887	40.0%
2	46	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	1283	57.9%
1	887	40.0%
2	46	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1283	57.9%
1	887	40.0%
2	46	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1283	57.9%
1	887	40.0%
2	46	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1283	57.9%
1	887	40.0%
2	46	2.1%

teenhome
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

0	1147
1	1018
2	51

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1147	51.8%
1	1018	45.9%
2	51	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1147	51.8%
1	1018	45.9%
2	51	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	1147	51.8%
1	1018	45.9%
2	51	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1147	51.8%
1	1018	45.9%
2	51	2.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1147	51.8%
1	1018	45.9%
2	51	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1147	51.8%
1	1018	45.9%
2	51	2.3%

dt_customer
Date

Distinct	662
Distinct (%)	29.9%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

Minimum	2012-07-30 00:00:00
Maximum	2014-06-29 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

recency
Real number (ℝ)

Distinct	100
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.012635

Minimum	0
Maximum	99
Zeros	28
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	24
median	49
Q3	74
95-th percentile	94
Maximum	99
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	28.948352
Coefficient of variation (CV)	0.59063038
Kurtosis	-1.1997769
Mean	49.012635
Median Absolute Deviation (MAD)	25
Skewness	0.0016477067
Sum	108612
Variance	838.00706
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
56	37	1.7%
30	32	1.4%
54	32	1.4%
46	31	1.4%
92	30	1.4%
65	30	1.4%
71	29	1.3%
3	29	1.3%
29	29	1.3%
49	29	1.3%
Other values (90)	1908	86.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	28	1.3%
1	24	1.1%
2	28	1.3%
3	29	1.3%
4	26	1.2%
5	15	0.7%
6	21	0.9%
7	12	0.5%
8	25	1.1%
9	24	1.1%

Value	Count	Frequency (%)
99	17	0.8%
98	22	1.0%
97	20	0.9%
96	23	1.0%
95	18	0.8%
94	26	1.2%
93	21	0.9%
92	30	1.4%
91	18	0.8%
90	20	0.9%

mnt_wines
Real number (ℝ)

Distinct	776
Distinct (%)	35.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	305.09161

Minimum	0
Maximum	1493
Zeros	13
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	24
median	174.5
Q3	505
95-th percentile	1000.25
Maximum	1493
Range	1493
Interquartile range (IQR)	481

Descriptive statistics

Standard deviation	337.32792
Coefficient of variation (CV)	1.1056611
Kurtosis	0.58274112
Mean	305.09161
Median Absolute Deviation (MAD)	165.5
Skewness	1.1707201
Sum	676083
Variance	113790.13
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	42	1.9%
1	37	1.7%
6	37	1.7%
5	37	1.7%
4	33	1.5%
8	30	1.4%
3	30	1.4%
9	28	1.3%
12	25	1.1%
14	24	1.1%
Other values (766)	1893	85.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	0.6%
1	37	1.7%
2	42	1.9%
3	30	1.4%
4	33	1.5%
5	37	1.7%
6	37	1.7%
7	21	0.9%
8	30	1.4%
9	28	1.3%

Value	Count	Frequency (%)
1493	1	< 0.1%
1492	2	0.1%
1486	1	< 0.1%
1478	2	0.1%
1462	1	< 0.1%
1459	1	< 0.1%
1449	1	< 0.1%
1396	1	< 0.1%
1394	1	< 0.1%
1379	1	< 0.1%

mnt_fruits
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	158
Distinct (%)	7.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.356047

Minimum	0
Maximum	199
Zeros	395
Zeros (%)	17.8%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	8
Q3	33
95-th percentile	122.25
Maximum	199
Range	199
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	39.793917
Coefficient of variation (CV)	1.5098591
Kurtosis	4.0540815
Mean	26.356047
Median Absolute Deviation (MAD)	8
Skewness	2.1016575
Sum	58405
Variance	1583.5558
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	395	17.8%
1	158	7.1%
2	119	5.4%
3	114	5.1%
4	103	4.6%
7	67	3.0%
5	62	2.8%
6	62	2.8%
12	50	2.3%
8	48	2.2%
Other values (148)	1038	46.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	395	17.8%
1	158	7.1%
2	119	5.4%
3	114	5.1%
4	103	4.6%
5	62	2.8%
6	62	2.8%
7	67	3.0%
8	48	2.2%
9	35	1.6%

Value	Count	Frequency (%)
199	2	0.1%
197	1	< 0.1%
194	3	0.1%
193	2	0.1%
190	1	< 0.1%
189	1	< 0.1%
185	2	0.1%
184	1	< 0.1%
183	3	0.1%
181	1	< 0.1%

mnt_meat_products
Real number (ℝ)

Distinct	554
Distinct (%)	25.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	166.99594

Minimum	0
Maximum	1725
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	16
median	68
Q3	232.25
95-th percentile	687.5
Maximum	1725
Range	1725
Interquartile range (IQR)	216.25

Descriptive statistics

Standard deviation	224.28327
Coefficient of variation (CV)	1.3430463
Kurtosis	5.0554767
Mean	166.99594
Median Absolute Deviation (MAD)	60
Skewness	2.0255768
Sum	370063
Variance	50302.986
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	53	2.4%
5	50	2.3%
11	49	2.2%
8	45	2.0%
6	42	1.9%
10	40	1.8%
3	39	1.8%
9	37	1.7%
16	35	1.6%
12	34	1.5%
Other values (544)	1792	80.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	14	0.6%
2	30	1.4%
3	39	1.8%
4	30	1.4%
5	50	2.3%
6	42	1.9%
7	53	2.4%
8	45	2.0%
9	37	1.7%

Value	Count	Frequency (%)
1725	2	0.1%
1622	1	< 0.1%
1582	1	< 0.1%
984	1	< 0.1%
981	1	< 0.1%
974	1	< 0.1%
968	1	< 0.1%
961	1	< 0.1%
951	2	0.1%
946	1	< 0.1%

mnt_fish_products
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	182
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.637635

Minimum	0
Maximum	259
Zeros	379
Zeros (%)	17.1%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	12
Q3	50
95-th percentile	169
Maximum	259
Range	259
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	54.752082
Coefficient of variation (CV)	1.4547163
Kurtosis	3.0764763
Mean	37.637635
Median Absolute Deviation (MAD)	12
Skewness	1.916369
Sum	83405
Variance	2997.7905
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	379	17.1%
2	152	6.9%
3	128	5.8%
4	108	4.9%
6	81	3.7%
7	66	3.0%
8	58	2.6%
10	54	2.4%
13	48	2.2%
11	46	2.1%
Other values (172)	1096	49.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	379	17.1%
1	10	0.5%
2	152	6.9%
3	128	5.8%
4	108	4.9%
5	1	< 0.1%
6	81	3.7%
7	66	3.0%
8	58	2.6%
10	54	2.4%

Value	Count	Frequency (%)
259	1	< 0.1%
258	3	0.1%
254	1	< 0.1%
253	1	< 0.1%
250	3	0.1%
247	1	< 0.1%
246	1	< 0.1%
242	1	< 0.1%
240	2	0.1%
237	2	0.1%

mnt_sweet_products
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	176
Distinct (%)	7.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.028881

Minimum	0
Maximum	262
Zeros	413
Zeros (%)	18.6%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	8
Q3	33
95-th percentile	125.25
Maximum	262
Range	262
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	41.072046
Coefficient of variation (CV)	1.5195615
Kurtosis	4.1061406
Mean	27.028881
Median Absolute Deviation (MAD)	8
Skewness	2.1033276
Sum	59896
Variance	1686.9129
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	413	18.6%
1	161	7.3%
2	123	5.6%
3	101	4.6%
4	80	3.6%
5	65	2.9%
6	63	2.8%
7	57	2.6%
8	56	2.5%
12	45	2.0%
Other values (166)	1052	47.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	413	18.6%
1	161	7.3%
2	123	5.6%
3	101	4.6%
4	80	3.6%
5	65	2.9%
6	63	2.8%
7	57	2.6%
8	56	2.5%
9	42	1.9%

Value	Count	Frequency (%)
262	1	< 0.1%
198	1	< 0.1%
197	1	< 0.1%
196	1	< 0.1%
195	1	< 0.1%
194	3	0.1%
192	3	0.1%
191	1	< 0.1%
189	2	0.1%
188	1	< 0.1%

mnt_gold_prods
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	212
Distinct (%)	9.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.965253

Minimum	0
Maximum	321
Zeros	61
Zeros (%)	2.8%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	9
median	24.5
Q3	56
95-th percentile	165.25
Maximum	321
Range	321
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	51.815414
Coefficient of variation (CV)	1.1785538
Kurtosis	3.1563419
Mean	43.965253
Median Absolute Deviation (MAD)	18.5
Skewness	1.8392309
Sum	97427
Variance	2684.8372
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	71	3.2%
4	69	3.1%
3	68	3.1%
12	63	2.8%
5	63	2.8%
2	62	2.8%
0	61	2.8%
6	55	2.5%
7	52	2.3%
10	49	2.2%
Other values (202)	1603	72.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	61	2.8%
1	71	3.2%
2	62	2.8%
3	68	3.1%
4	69	3.1%
5	63	2.8%
6	55	2.5%
7	52	2.3%
8	40	1.8%
9	43	1.9%

Value	Count	Frequency (%)
321	1	< 0.1%
291	1	< 0.1%
262	1	< 0.1%
249	1	< 0.1%
248	1	< 0.1%
247	1	< 0.1%
246	1	< 0.1%
245	1	< 0.1%
242	2	0.1%
241	6	0.3%

num_deals_purchases
Real number (ℝ)

Distinct	15
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.323556

Minimum	0
Maximum	15
Zeros	44
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	6
Maximum	15
Range	15
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9237156
Coefficient of variation (CV)	0.82791879
Kurtosis	8.9744901
Mean	2.323556
Median Absolute Deviation (MAD)	1
Skewness	2.4152718
Sum	5149
Variance	3.7006819
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
1	960	43.3%
2	493	22.2%
3	293	13.2%
4	188	8.5%
5	94	4.2%
6	60	2.7%
0	44	2.0%
7	39	1.8%
8	14	0.6%
9	8	0.4%
Other values (5)	23	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	44	2.0%
1	960	43.3%
2	493	22.2%
3	293	13.2%
4	188	8.5%
5	94	4.2%
6	60	2.7%
7	39	1.8%
8	14	0.6%
9	8	0.4%

Value	Count	Frequency (%)
15	7	0.3%
13	3	0.1%
12	3	0.1%
11	5	0.2%
10	5	0.2%
9	8	0.4%
8	14	0.6%
7	39	1.8%
6	60	2.7%
5	94	4.2%

num_web_purchases
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	15
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.0852888

Minimum	0
Maximum	27
Zeros	48
Zeros (%)	2.2%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	9
Maximum	27
Range	27
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.7409511
Coefficient of variation (CV)	0.67093202
Kurtosis	4.0721368
Mean	4.0852888
Median Absolute Deviation (MAD)	2
Skewness	1.197037
Sum	9053
Variance	7.5128128
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
2	368	16.6%
1	348	15.7%
3	334	15.1%
4	277	12.5%
5	219	9.9%
6	201	9.1%
7	154	6.9%
8	102	4.6%
9	75	3.4%
0	48	2.2%
Other values (5)	90	4.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	48	2.2%
1	348	15.7%
2	368	16.6%
3	334	15.1%
4	277	12.5%
5	219	9.9%
6	201	9.1%
7	154	6.9%
8	102	4.6%
9	75	3.4%

Value	Count	Frequency (%)
27	1	< 0.1%
25	1	< 0.1%
23	1	< 0.1%
11	44	2.0%
10	43	1.9%
9	75	3.4%
8	102	4.6%
7	154	6.9%
6	201	9.1%
5	219	9.9%

num_catalog_purchases
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	14
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6710289

Minimum	0
Maximum	28
Zeros	576
Zeros (%)	26.0%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	4
95-th percentile	9
Maximum	28
Range	28
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.9267336
Coefficient of variation (CV)	1.0957327
Kurtosis	8.0671262
Mean	2.6710289
Median Absolute Deviation (MAD)	2
Skewness	1.8810751
Sum	5919
Variance	8.5657698
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	576	26.0%
1	492	22.2%
2	274	12.4%
3	182	8.2%
4	181	8.2%
5	137	6.2%
6	128	5.8%
7	79	3.6%
8	55	2.5%
10	47	2.1%
Other values (4)	65	2.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	576	26.0%
1	492	22.2%
2	274	12.4%
3	182	8.2%
4	181	8.2%
5	137	6.2%
6	128	5.8%
7	79	3.6%
8	55	2.5%
9	42	1.9%

Value	Count	Frequency (%)
28	3	0.1%
22	1	< 0.1%
11	19	0.9%
10	47	2.1%
9	42	1.9%
8	55	2.5%
7	79	3.6%
6	128	5.8%
5	137	6.2%
4	181	8.2%

num_store_purchases
Real number (ℝ)

Distinct	14
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.8009928

Minimum	0
Maximum	13
Zeros	14
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	3
median	5
Q3	8
95-th percentile	12
Maximum	13
Range	13
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.2507848
Coefficient of variation (CV)	0.56038422
Kurtosis	-0.62646219
Mean	5.8009928
Median Absolute Deviation (MAD)	2
Skewness	0.7018263
Sum	12855
Variance	10.567602
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
3	484	21.8%
4	319	14.4%
2	220	9.9%
5	211	9.5%
6	177	8.0%
8	147	6.6%
7	141	6.4%
10	124	5.6%
9	106	4.8%
12	104	4.7%
Other values (4)	183	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	0.6%
1	6	0.3%
2	220	9.9%
3	484	21.8%
4	319	14.4%
5	211	9.5%
6	177	8.0%
7	141	6.4%
8	147	6.6%
9	106	4.8%

Value	Count	Frequency (%)
13	83	3.7%
12	104	4.7%
11	80	3.6%
10	124	5.6%
9	106	4.8%
8	147	6.6%
7	141	6.4%
6	177	8.0%
5	211	9.5%
4	319	14.4%

num_web_visits_month
Real number (ℝ)

Distinct	16
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.3190433

Minimum	0
Maximum	20
Zeros	10
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	6
Q3	7
95-th percentile	8
Maximum	20
Range	20
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.4253585
Coefficient of variation (CV)	0.45597646
Kurtosis	1.8525767
Mean	5.3190433
Median Absolute Deviation (MAD)	2
Skewness	0.21804305
Sum	11787
Variance	5.8823641
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
7	387	17.5%
8	340	15.3%
6	335	15.1%
5	279	12.6%
4	217	9.8%
3	203	9.2%
2	201	9.1%
1	150	6.8%
9	82	3.7%
0	10	0.5%
Other values (6)	12	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10	0.5%
1	150	6.8%
2	201	9.1%
3	203	9.2%
4	217	9.8%
5	279	12.6%
6	335	15.1%
7	387	17.5%
8	340	15.3%
9	82	3.7%

Value	Count	Frequency (%)
20	3	0.1%
19	2	0.1%
17	1	< 0.1%
14	2	0.1%
13	1	< 0.1%
10	3	0.1%
9	82	3.7%
8	340	15.3%
7	387	17.5%
6	335	15.1%

accepted_cmp3
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

0	2053
1	163

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2053	92.6%
1	163	7.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2053	92.6%
1	163	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	2053	92.6%
1	163	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2053	92.6%
1	163	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2053	92.6%
1	163	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2053	92.6%
1	163	7.4%

accepted_cmp4
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

0	2052
1	164

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2052	92.6%
1	164	7.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2052	92.6%
1	164	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	2052	92.6%
1	164	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2052	92.6%
1	164	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2052	92.6%
1	164	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2052	92.6%
1	164	7.4%

accepted_cmp5
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

0	2054
1	162

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2054	92.7%
1	162	7.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2054	92.7%
1	162	7.3%

Most occurring characters

Value	Count	Frequency (%)
0	2054	92.7%
1	162	7.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2054	92.7%
1	162	7.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2054	92.7%
1	162	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2054	92.7%
1	162	7.3%

accepted_cmp1
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

0	2074
1	142

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2074	93.6%
1	142	6.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2074	93.6%
1	142	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	2074	93.6%
1	142	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2074	93.6%
1	142	6.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2074	93.6%
1	142	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2074	93.6%
1	142	6.4%

accepted_cmp2
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

0	2186
1	30

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2186	98.6%
1	30	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2186	98.6%
1	30	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	2186	98.6%
1	30	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2186	98.6%
1	30	1.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2186	98.6%
1	30	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2186	98.6%
1	30	1.4%

complain
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

0	2195
1	21

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2195	99.1%
1	21	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2195	99.1%
1	21	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	2195	99.1%
1	21	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2195	99.1%
1	21	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2195	99.1%
1	21	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2195	99.1%
1	21	0.9%

z_cost_contact
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

3	2216

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	2216	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2216	100.0%

Most occurring characters

Value	Count	Frequency (%)
3	2216	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2216	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2216	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2216	100.0%

z_revenue
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

11	2216

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	4432
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	11
2nd row	11
3rd row	11
4th row	11
5th row	11

Common Values

Value	Count	Frequency (%)
11	2216	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
11	2216	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	4432	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4432	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	4432	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4432	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	4432	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4432	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	4432	100.0%

age
Real number (ℝ)

Distinct	59
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51.179603

Minimum	24
Maximum	127
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	24
5-th percentile	32
Q1	43
median	50
Q3	61
95-th percentile	70
Maximum	127
Range	103
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	11.985554
Coefficient of variation (CV)	0.23418615
Kurtosis	0.73467044
Mean	51.179603
Median Absolute Deviation (MAD)	9
Skewness	0.35366147
Sum	113414
Variance	143.65351
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
44	89	4.0%
49	86	3.9%
45	83	3.7%
48	78	3.5%
42	76	3.4%
50	75	3.4%
55	74	3.3%
47	72	3.2%
51	70	3.2%
46	69	3.1%
Other values (49)	1444	65.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
24	2	0.1%
25	5	0.2%
26	3	0.1%
27	5	0.2%
28	13	0.6%
29	15	0.7%
30	18	0.8%
31	29	1.3%
32	29	1.3%
33	27	1.2%

Value	Count	Frequency (%)
127	1	< 0.1%
121	1	< 0.1%
120	1	< 0.1%
80	1	< 0.1%
79	1	< 0.1%
77	6	0.3%
76	7	0.3%
75	8	0.4%
74	16	0.7%
73	16	0.7%

n_family_members
Categorical

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

3	880
2	757
4	296
1	252
5	31

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	3
3rd row	2
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	880	39.7%
2	757	34.2%
4	296	13.4%
1	252	11.4%
5	31	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	880	39.7%
2	757	34.2%
4	296	13.4%
1	252	11.4%
5	31	1.4%

Most occurring characters

Value	Count	Frequency (%)
3	880	39.7%
2	757	34.2%
4	296	13.4%
1	252	11.4%
5	31	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	880	39.7%
2	757	34.2%
4	296	13.4%
1	252	11.4%
5	31	1.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	880	39.7%
2	757	34.2%
4	296	13.4%
1	252	11.4%
5	31	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	880	39.7%
2	757	34.2%
4	296	13.4%
1	252	11.4%
5	31	1.4%

n_sons
Categorical

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

1	1117
0	633
2	416
3	50

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	2
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	1117	50.4%
0	633	28.6%
2	416	18.8%
3	50	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	1117	50.4%
0	633	28.6%
2	416	18.8%
3	50	2.3%

Most occurring characters

Value	Count	Frequency (%)
1	1117	50.4%
0	633	28.6%
2	416	18.8%
3	50	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1117	50.4%
0	633	28.6%
2	416	18.8%
3	50	2.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1117	50.4%
0	633	28.6%
2	416	18.8%
3	50	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1117	50.4%
0	633	28.6%
2	416	18.8%
3	50	2.3%

days_since_signup
Real number (ℝ)

Distinct	662
Distinct (%)	29.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	353.52121

Minimum	0
Maximum	699
Zeros	2
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	0
5-th percentile	38
Q1	180
median	355.5
Q3	529
95-th percentile	667
Maximum	699
Range	699
Interquartile range (IQR)	349

Descriptive statistics

Standard deviation	202.43467
Coefficient of variation (CV)	0.57262383
Kurtosis	-1.1998022
Mean	353.52121
Median Absolute Deviation (MAD)	174.5
Skewness	-0.016922159
Sum	783403
Variance	40979.795
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
667	12	0.5%
655	11	0.5%
500	11	0.5%
48	11	0.5%
313	10	0.5%
38	10	0.5%
120	9	0.4%
98	9	0.4%
85	9	0.4%
543	9	0.4%
Other values (652)	2115	95.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	0.1%
1	3	0.1%
2	3	0.1%
3	4	0.2%
4	5	0.2%
5	2	0.1%
6	2	0.1%
7	5	0.2%
8	2	0.1%
9	2	0.1%

Value	Count	Frequency (%)
699	1	< 0.1%
698	1	< 0.1%
697	4	0.2%
696	3	0.1%
695	5	0.2%
694	4	0.2%
693	1	< 0.1%
692	3	0.1%
691	4	0.2%
690	7	0.3%

income_per_member
Real number (ℝ)

Distinct	1984
Distinct (%)	89.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24993.109

Minimum	815.66667
Maximum	222222
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	815.66667
5-th percentile	6798
Q1	12105
median	18650.833
Q3	32003
95-th percentile	74692.5
Maximum	222222
Range	221406.33
Interquartile range (IQR)	19898

Descriptive statistics

Standard deviation	19938.134
Coefficient of variation (CV)	0.79774527
Kurtosis	7.2809277
Mean	24993.109
Median Absolute Deviation (MAD)	7731.1667
Skewness	2.1527044
Sum	55384729
Variance	3.9752919 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2500	7	0.3%
3750	5	0.2%
11953.33333	4	0.2%
22481.66667	3	0.1%
12787	3	0.1%
24216	3	0.1%
13307.33333	3	0.1%
9345	3	0.1%
18880	3	0.1%
15366	3	0.1%
Other values (1974)	2179	98.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
815.6666667	1	< 0.1%
1005.75	1	< 0.1%
1412	1	< 0.1%
1476	1	< 0.1%
1730	1	< 0.1%
1751	1	< 0.1%
1768.333333	1	< 0.1%
2278.333333	1	< 0.1%
2381.333333	1	< 0.1%
2500	7	0.3%

Value	Count	Frequency (%)
222222	1	< 0.1%
153924	1	< 0.1%
113734	1	< 0.1%
102692	1	< 0.1%
101970	1	< 0.1%
98777	2	0.1%
96843	1	< 0.1%
95529	1	< 0.1%
95169	1	< 0.1%
93790	1	< 0.1%

total_spent
Real number (ℝ)

Distinct	1047
Distinct (%)	47.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	607.07536

Minimum	5
Maximum	2525
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	34.6 KiB

Quantile statistics

Minimum	5
5-th percentile	22
Q1	69
median	396.5
Q3	1048
95-th percentile	1778.25
Maximum	2525
Range	2520
Interquartile range (IQR)	979

Descriptive statistics

Standard deviation	602.90048
Coefficient of variation (CV)	0.99312295
Kurtosis	-0.34653478
Mean	607.07536
Median Absolute Deviation (MAD)	353.5
Skewness	0.8580548
Sum	1345279
Variance	363488.98
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22	18	0.8%
46	18	0.8%
57	16	0.7%
55	15	0.7%
44	15	0.7%
38	14	0.6%
37	14	0.6%
43	14	0.6%
20	14	0.6%
48	14	0.6%
Other values (1037)	2064	93.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
6	2	0.1%
8	4	0.2%
9	2	0.1%
10	5	0.2%
11	5	0.2%
12	2	0.1%
13	6	0.3%
14	3	0.1%
15	10	0.5%

Value	Count	Frequency (%)
2525	2	0.1%
2524	1	< 0.1%
2486	1	< 0.1%
2440	1	< 0.1%
2352	1	< 0.1%
2349	1	< 0.1%
2346	1	< 0.1%
2302	2	0.1%
2283	1	< 0.1%
2279	1	< 0.1%

total_accepted
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

0	1757
1	323
2	81
3	44
4	11

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1757	79.3%
1	323	14.6%
2	81	3.7%
3	44	2.0%
4	11	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1757	79.3%
1	323	14.6%
2	81	3.7%
3	44	2.0%
4	11	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	1757	79.3%
1	323	14.6%
2	81	3.7%
3	44	2.0%
4	11	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1757	79.3%
1	323	14.6%
2	81	3.7%
3	44	2.0%
4	11	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1757	79.3%
1	323	14.6%
2	81	3.7%
3	44	2.0%
4	11	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1757	79.3%
1	323	14.6%
2	81	3.7%
3	44	2.0%
4	11	0.5%

response
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	34.6 KiB

0	1883
1	333

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1883	85.0%
1	333	15.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1883	85.0%
1	333	15.0%

Most occurring characters

Value	Count	Frequency (%)
0	1883	85.0%
1	333	15.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2216	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1883	85.0%
1	333	15.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1883	85.0%
1	333	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1883	85.0%
1	333	15.0%

Auto

Heatmap
Table

	id	year_birth	income	recency	mnt_wines	mnt_fruits	mnt_meat_products	mnt_fish_products	mnt_sweet_products	mnt_gold_prods	num_deals_purchases	num_web_purchases	num_catalog_purchases	num_store_purchases	num_web_visits_month	age	days_since_signup	income_per_member	total_spent	education	marital_status	kidhome	teenhome	accepted_cmp3	accepted_cmp4	accepted_cmp5	accepted_cmp1	accepted_cmp2	complain	n_family_members	n_sons	total_accepted	response
id	1.000	0.005	0.004	-0.044	-0.025	-0.020	-0.014	-0.030	-0.033	-0.041	-0.027	-0.025	-0.011	-0.022	-0.012	-0.005	-0.003	-0.007	-0.025	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.045	0.036	0.000	0.000	0.000	0.000	0.034
year_birth	0.005	1.000	-0.217	-0.017	-0.235	-0.026	-0.113	-0.030	0.002	-0.076	-0.085	-0.166	-0.179	-0.167	0.134	-1.000	0.015	-0.155	-0.159	0.113	0.091	0.221	0.307	0.053	0.052	0.083	0.053	0.000	0.138	0.135	0.182	0.043	0.000
income	0.004	-0.217	1.000	0.008	0.830	0.582	0.817	0.577	0.567	0.506	-0.196	0.573	0.792	0.732	-0.644	0.217	-0.023	0.863	0.851	0.054	0.000	0.286	0.174	0.000	0.139	0.449	0.362	0.067	0.000	0.229	0.304	0.217	0.192
recency	-0.044	-0.017	0.008	1.000	0.017	0.025	0.026	0.013	0.024	0.017	0.008	-0.002	0.029	0.004	-0.019	0.017	0.026	-0.001	0.019	0.000	0.026	0.066	0.050	0.043	0.000	0.000	0.000	0.034	0.000	0.030	0.031	0.000	0.209
mnt_wines	-0.025	-0.235	0.830	0.017	1.000	0.517	0.824	0.522	0.505	0.575	0.054	0.742	0.823	0.805	-0.391	0.235	0.156	0.745	0.928	0.115	0.015	0.407	0.112	0.094	0.397	0.518	0.356	0.301	0.000	0.154	0.217	0.303	0.267
mnt_fruits	-0.020	-0.026	0.582	0.025	0.517	1.000	0.714	0.704	0.691	0.570	-0.112	0.473	0.633	0.582	-0.444	0.026	0.129	0.598	0.683	0.071	0.029	0.314	0.121	0.000	0.069	0.284	0.259	0.000	0.000	0.185	0.268	0.131	0.152
mnt_meat_products	-0.014	-0.113	0.817	0.026	0.824	0.714	1.000	0.726	0.698	0.640	-0.034	0.683	0.854	0.780	-0.494	0.113	0.155	0.781	0.940	0.055	0.031	0.322	0.226	0.027	0.097	0.377	0.310	0.034	0.000	0.236	0.349	0.160	0.241
mnt_fish_products	-0.030	-0.030	0.577	0.013	0.522	0.704	0.726	1.000	0.700	0.565	-0.124	0.466	0.656	0.581	-0.460	0.030	0.131	0.600	0.695	0.064	0.051	0.325	0.140	0.077	0.010	0.266	0.269	0.048	0.000	0.198	0.286	0.120	0.128
mnt_sweet_products	-0.033	0.002	0.567	0.024	0.505	0.691	0.698	0.700	1.000	0.541	-0.108	0.462	0.628	0.581	-0.449	-0.002	0.116	0.574	0.670	0.069	0.000	0.294	0.101	0.000	0.025	0.267	0.256	0.047	0.000	0.173	0.248	0.117	0.111
mnt_gold_prods	-0.041	-0.076	0.506	0.017	0.575	0.570	0.640	0.565	0.541	1.000	0.090	0.578	0.649	0.540	-0.258	0.076	0.225	0.507	0.692	0.065	0.059	0.270	0.062	0.125	0.068	0.181	0.198	0.085	0.000	0.120	0.162	0.112	0.158
num_deals_purchases	-0.027	-0.085	-0.196	0.008	0.054	-0.112	-0.034	-0.124	-0.108	0.090	1.000	0.284	-0.044	0.097	0.396	0.085	0.217	-0.323	-0.016	0.000	0.018	0.212	0.347	0.000	0.059	0.245	0.166	0.000	0.000	0.270	0.368	0.077	0.098
num_web_purchases	-0.025	-0.166	0.573	-0.002	0.742	0.473	0.683	0.466	0.462	0.578	0.284	1.000	0.621	0.674	-0.097	0.166	0.201	0.512	0.729	0.083	0.036	0.294	0.161	0.022	0.159	0.171	0.167	0.000	0.000	0.094	0.149	0.110	0.164
num_catalog_purchases	-0.011	-0.179	0.792	0.029	0.823	0.633	0.854	0.656	0.628	0.649	-0.044	0.621	1.000	0.707	-0.539	0.179	0.127	0.753	0.894	0.065	0.000	0.387	0.119	0.088	0.191	0.360	0.315	0.111	0.000	0.201	0.293	0.190	0.219
num_store_purchases	-0.022	-0.167	0.732	0.004	0.805	0.582	0.780	0.581	0.581	0.540	0.097	0.674	0.707	1.000	-0.458	0.167	0.115	0.677	0.806	0.107	0.024	0.403	0.084	0.179	0.214	0.228	0.195	0.081	0.000	0.137	0.200	0.136	0.149
num_web_visits_month	-0.012	0.134	-0.644	-0.019	-0.391	-0.444	-0.494	-0.460	-0.449	-0.258	0.396	-0.097	-0.539	-0.458	1.000	-0.134	0.305	-0.617	-0.476	0.054	0.000	0.345	0.216	0.078	0.000	0.308	0.204	0.000	0.000	0.214	0.324	0.094	0.121
age	-0.005	-1.000	0.217	0.017	0.235	0.026	0.113	0.030	-0.002	0.076	0.085	0.166	0.179	0.167	-0.134	1.000	-0.015	0.155	0.159	0.113	0.091	0.221	0.307	0.053	0.052	0.083	0.053	0.000	0.138	0.135	0.182	0.043	0.000
days_since_signup	-0.003	0.015	-0.023	0.026	0.156	0.129	0.155	0.131	0.116	0.225	0.217	0.201	0.127	0.115	0.305	-0.015	1.000	0.002	0.184	0.045	0.026	0.039	0.000	0.007	0.009	0.000	0.000	0.000	0.049	0.027	0.032	0.016	0.201
income_per_member	-0.007	-0.155	0.863	-0.001	0.745	0.598	0.781	0.600	0.574	0.507	-0.323	0.512	0.753	0.677	-0.617	0.155	0.002	1.000	0.803	0.059	0.162	0.410	0.242	0.000	0.202	0.405	0.320	0.118	0.000	0.506	0.402	0.193	0.303
total_spent	-0.025	-0.159	0.851	0.019	0.928	0.683	0.940	0.695	0.670	0.692	-0.016	0.729	0.894	0.806	-0.476	0.159	0.184	0.803	1.000	0.093	0.022	0.438	0.225	0.056	0.247	0.526	0.417	0.152	0.000	0.221	0.324	0.266	0.293
education	0.000	0.113	0.054	0.000	0.115	0.071	0.055	0.064	0.069	0.065	0.000	0.083	0.065	0.107	0.054	0.113	0.045	0.059	0.093	1.000	0.000	0.051	0.105	0.000	0.053	0.034	0.032	0.017	0.039	0.033	0.033	0.000	0.093
marital_status	0.000	0.091	0.000	0.026	0.015	0.029	0.031	0.051	0.000	0.059	0.018	0.036	0.000	0.024	0.000	0.091	0.026	0.162	0.022	0.000	1.000	0.037	0.076	0.000	0.000	0.020	0.029	0.000	0.000	0.303	0.044	0.000	0.145
kidhome	0.000	0.221	0.286	0.066	0.407	0.314	0.322	0.325	0.294	0.270	0.212	0.294	0.387	0.403	0.345	0.221	0.039	0.410	0.438	0.051	0.037	1.000	0.052	0.030	0.162	0.209	0.184	0.079	0.028	0.526	0.621	0.151	0.073
teenhome	0.000	0.307	0.174	0.050	0.112	0.121	0.226	0.140	0.101	0.062	0.347	0.161	0.119	0.084	0.216	0.307	0.000	0.242	0.225	0.105	0.076	0.052	1.000	0.038	0.024	0.205	0.146	0.000	0.000	0.466	0.563	0.094	0.158
accepted_cmp3	0.000	0.053	0.000	0.043	0.094	0.000	0.027	0.077	0.000	0.125	0.000	0.022	0.088	0.179	0.078	0.053	0.007	0.000	0.056	0.000	0.000	0.030	0.038	1.000	0.073	0.074	0.090	0.061	0.000	0.000	0.000	0.566	0.251
accepted_cmp4	0.000	0.052	0.139	0.000	0.397	0.069	0.097	0.010	0.025	0.068	0.059	0.159	0.191	0.214	0.000	0.052	0.009	0.202	0.247	0.053	0.000	0.162	0.024	0.073	1.000	0.307	0.238	0.287	0.000	0.071	0.082	0.617	0.177
accepted_cmp5	0.000	0.083	0.449	0.000	0.518	0.284	0.377	0.266	0.267	0.181	0.245	0.171	0.360	0.228	0.308	0.083	0.000	0.405	0.526	0.034	0.020	0.209	0.205	0.074	0.307	1.000	0.404	0.214	0.000	0.242	0.347	0.737	0.320
accepted_cmp1	0.045	0.053	0.362	0.000	0.356	0.259	0.310	0.269	0.256	0.198	0.166	0.167	0.315	0.195	0.204	0.053	0.000	0.320	0.417	0.032	0.029	0.184	0.146	0.090	0.238	0.404	1.000	0.167	0.000	0.197	0.278	0.692	0.294
accepted_cmp2	0.036	0.000	0.067	0.034	0.301	0.000	0.034	0.048	0.047	0.085	0.000	0.000	0.111	0.081	0.000	0.000	0.000	0.118	0.152	0.017	0.000	0.079	0.000	0.061	0.287	0.214	0.167	1.000	0.000	0.058	0.073	0.669	0.162
complain	0.000	0.138	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.138	0.049	0.000	0.000	0.039	0.000	0.028	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000
n_family_members	0.000	0.135	0.229	0.030	0.154	0.185	0.236	0.198	0.173	0.120	0.270	0.094	0.201	0.137	0.214	0.135	0.027	0.506	0.221	0.033	0.303	0.526	0.466	0.000	0.071	0.242	0.197	0.058	0.000	1.000	0.762	0.101	0.260
n_sons	0.000	0.182	0.304	0.031	0.217	0.268	0.349	0.286	0.248	0.162	0.368	0.149	0.293	0.200	0.324	0.182	0.032	0.402	0.324	0.033	0.044	0.621	0.563	0.000	0.082	0.347	0.278	0.073	0.000	0.762	1.000	0.160	0.203
total_accepted	0.000	0.043	0.217	0.000	0.303	0.131	0.160	0.120	0.117	0.112	0.077	0.110	0.190	0.136	0.094	0.043	0.016	0.193	0.266	0.000	0.000	0.151	0.094	0.566	0.617	0.737	0.692	0.669	0.000	0.101	0.160	1.000	0.426
response	0.034	0.000	0.192	0.209	0.267	0.152	0.241	0.128	0.111	0.158	0.098	0.164	0.219	0.149	0.121	0.000	0.201	0.303	0.293	0.093	0.145	0.073	0.158	0.251	0.177	0.320	0.294	0.162	0.000	0.260	0.203	0.426	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	id	year_birth	education	marital_status	income	kidhome	teenhome	dt_customer	recency	mnt_wines	mnt_fruits	mnt_meat_products	mnt_fish_products	mnt_sweet_products	mnt_gold_prods	num_deals_purchases	num_web_purchases	num_catalog_purchases	num_store_purchases	num_web_visits_month	accepted_cmp3	z_cost_contact	z_revenue	age	n_family_members	n_sons	days_since_signup	income_per_member	total_spent	total_accepted	response
0	5524	1957	Graduation	Single	58138.0	0	0	2012-09-04	58	635	88	546	172	88	88	3	8	10	4	7	0	3	11	63	1	0	663	58138.000000	1617	0	1
1	2174	1954	Graduation	Single	46344.0	1	1	2014-03-08	38	11	1	6	2	1	6	2	1	1	2	5	0	3	11	66	3	2	113	15448.000000	27	0	0
2	4141	1965	Graduation	Together	71613.0	0	0	2013-08-21	26	426	49	127	111	21	42	1	8	2	10	4	0	3	11	55	2	0	312	35806.500000	776	0	0
3	6182	1984	Graduation	Together	26646.0	1	0	2014-02-10	26	11	4	20	10	3	5	2	2	0	4	6	0	3	11	36	3	1	139	8882.000000	53	0	0
4	5324	1981	PhD	Married	58293.0	1	0	2014-01-19	94	173	43	118	46	27	15	5	5	3	6	5	0	3	11	39	3	1	161	19431.000000	422	0	0
5	7446	1967	Master	Together	62513.0	0	1	2013-09-09	16	520	42	98	0	42	14	2	6	4	10	6	0	3	11	53	3	1	293	20837.666667	716	0	0
6	965	1971	Graduation	Divorced	55635.0	0	1	2012-11-13	34	235	65	164	50	49	27	4	7	3	7	6	0	3	11	49	2	1	593	27817.500000	590	0	0
7	6177	1985	PhD	Married	33454.0	1	0	2013-05-08	32	76	10	56	3	1	23	2	4	0	4	8	0	3	11	35	3	1	417	11151.333333	169	0	0
8	4855	1974	PhD	Together	30351.0	1	0	2013-06-06	19	14	0	24	3	3	2	1	3	0	2	9	0	3	11	46	3	1	388	10117.000000	46	0	1
9	5899	1950	PhD	Together	5648.0	1	1	2014-03-13	68	28	0	6	1	1	13	1	1	0	0	20	1	3	11	70	4	2	108	1412.000000	49	1	0

	id	year_birth	education	marital_status	income	kidhome	teenhome	dt_customer	recency	mnt_wines	mnt_fruits	mnt_meat_products	mnt_fish_products	mnt_sweet_products	mnt_gold_prods	num_deals_purchases	num_web_purchases	num_catalog_purchases	num_store_purchases	num_web_visits_month	accepted_cmp3	accepted_cmp4	accepted_cmp1	z_cost_contact	z_revenue	age	n_family_members	n_sons	days_since_signup	income_per_member	total_spent	total_accepted	response
2230	7004	1984	Graduation	Single	11012.0	1	0	2013-03-16	82	24	3	26	7	1	23	3	3	1	2	9	1	0	0	3	11	36	2	1	470	5506.000000	84	1	0
2231	9817	1970	Master	Single	44802.0	0	0	2012-08-21	71	853	10	143	13	10	20	2	9	4	12	8	0	0	0	3	11	50	1	0	677	44802.000000	1049	0	0
2232	8080	1986	Graduation	Single	26816.0	0	0	2012-08-17	50	5	1	6	3	4	3	1	0	0	3	4	0	0	0	3	11	34	1	0	681	26816.000000	22	0	0
2233	9432	1977	Graduation	Together	666666.0	1	0	2013-06-02	23	9	14	18	8	1	12	4	3	1	3	6	0	0	0	3	11	43	3	1	392	222222.000000	62	0	0
2234	8372	1974	Graduation	Married	34421.0	1	0	2013-07-01	81	3	3	7	6	2	9	1	1	0	2	7	0	0	0	3	11	46	3	1	363	11473.666667	30	0	0
2235	10870	1967	Graduation	Married	61223.0	0	1	2013-06-13	46	709	43	182	42	118	247	2	9	3	4	5	0	0	0	3	11	53	3	1	381	20407.666667	1341	0	0
2236	4001	1946	PhD	Together	64014.0	2	1	2014-06-10	56	406	0	30	0	0	8	7	8	2	5	7	0	0	1	3	11	74	5	3	19	12802.800000	444	1	0
2237	7270	1981	Graduation	Divorced	56981.0	0	0	2014-01-25	91	908	48	217	32	12	24	1	2	3	13	6	0	1	0	3	11	39	1	0	155	56981.000000	1241	1	0
2238	8235	1956	Master	Together	69245.0	0	1	2014-01-24	8	428	30	214	80	30	61	2	6	5	10	3	0	0	0	3	11	64	3	1	156	23081.666667	843	0	0
2239	9405	1954	PhD	Married	52869.0	1	1	2012-10-15	40	84	3	61	2	1	21	3	3	1	4	7	0	0	0	3	11	66	4	2	622	13217.250000	172	0	1

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts